{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["victim", "attack pattern", "purpose", "attacker", "trusted entity", "place", "damage amount", "time", "tool"]}, {"event_type": "ransom", "trigger": true, "arguments": ["attack pattern", "time", "payment method", "damage amount", "tool", "victim"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "compromised data", "place", "attacker", "purpose", "attack pattern", "tool", "time", "victim", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch number", "supported platform", "vulnerable system", "vulnerability", "releaser", "vulnerable system version", "patch"]}], "input": "Phishers are able to achieve this by spoofing the familiar , trusted logos of established , legitimate companies ."}
{"phishing": [{"trigger": "spoofing", "arguments": {"victim": "NAN", "attack pattern": "NAN", "purpose": "NAN", "attacker": "Phishers", "trusted entity": ["trusted logos", "legitimate companies", "the familiar"], "place": "NAN", "damage amount": "NAN", "time": "NAN", "tool": "NAN"}}], "ransom": [], "data breach": [], "patch vulnerability": []}